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This sample shows how I organize qualified B2B prospect research using real Excel data. I research companies based on target criteria, add public-source information, include source links and qualification notes, and clearly label anything that cannot be verified. The final client deliverable is a structured Excel or Google Sheets file ready for outreach.
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Adding new sections to my portfolio, worked on a new trust section to show the different B2B founders and teams I've worked with.
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I built an AI-powered n8n automation that generates personalized ice breakers for cold emails.
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Strong use case. The quality control matters as much as the generation: I’d keep the source snippet and URL beside every ice breaker, then use a fallback when the evidence is thin instead of letting the model infer. Have you added a similarity check so repeat prospects don’t receive nearly identical openings?